Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Real Estate in Colombia

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Real Estate in Colombia

October 2024 - October 2025

Insights

Detailed observation of presented data

Key takeaways

  • This analysis looks at cost-per-purchase trends for industry Real Estate and target country Colombia compared to the global trend; the analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.
  • No selected data was available for Real Estate in Colombia during the observed period, so results below reflect the global baseline for context.
  • Globally, the median cost-per-purchase averaged $47.82 from October 2024 to September 2025, peaking in February ($53.89) and bottoming in September ($32.29).
  • Overall costs declined 30.8% from October 2024 to September 2025, with moderate month-to-month volatility (average absolute move of $3.25).
  • A seasonal lift was evident from December through March, with a sharp correction in September.

Scope and data source

  • Metric: cost-per-purchase (median, monthly)
  • Industry: Real Estate
  • Country: Colombia
  • Comparison: selected segment vs. global baseline
  • Note: The selected segment contains no data in the provided period; the global baseline is used as a directional benchmark.

Selected segment (Real Estate, Colombia)

  • Data availability: No monthly time-series was provided for the selected segment.
  • Implication: We cannot report local averages, highs/lows, or classify the segment as above market, below average, or in line with overall trends.

Global baseline overview

  • Period covered: Oct 2024–Sep 2025
  • Average: $47.82
  • Median: $48.96
  • High: $53.89 (Feb 2025)
  • Low: $32.29 (Sep 2025)
  • Range: $21.60
  • First vs. last month: down 30.8% from $46.67 (Oct 2024) to $32.29 (Sep 2025)
  • Months above the period average: 6 of 12 (Dec–May)

Volatility and month-to-month movement

  • Average absolute month-to-month change: $3.25
  • Notable jumps/dips:
  • Largest increase: +$8.34 from November to December (+19.3% MoM)
  • Largest decline: −$13.40 from August to September (−29.3% MoM)
  • Sequence highlights:
  • Q4 holiday lift begins in December ($51.53), continuing into Q1 (Jan–Mar at $52.31–$53.89–$52.61).
  • Gradual moderation from April to August ($51.57 → $45.69).
  • Marked pullback in September ($32.29).

Seasonal patterns

  • The baseline shows a clear seasonal uplift in December through February, consistent with increased competition and conversion demand around holidays and early-year momentum.
  • Summer months trend lower, with an extended softening from June through August, culminating in a pronounced September dip.

Comparison to the selected segment

  • Because Real Estate in Colombia has no available monthly data in the period, we cannot compute a relative gap or state whether the segment is above market, below average, or aligned with baseline trends.
  • The global baseline indicates typical Facebook Ads seasonality for cost-per-purchase: a December–February lift, gradual mid-year easing, and a significant end-of-period drop in September.

Understanding cost-per-purchase benchmarks on Facebook Ads in industry Real Estate and Colombia helps advertisers make more efficient budget and creative choices.

Understanding the Data

Insights & analysis of Facebook advertising costs

Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the Real Estate industry, Facebook ad costs can be influenced by seasonal trends and market competition. For campaigns targeting Colombia, advertisers should consider local market factors and user behavior. Different campaign objectives lead to varying costs based on how Facebook optimizes for your specific goals. The data shown represents median values across multiple campaigns, and individual results may vary based on ad quality, audience targeting, and campaign optimization.

Why we use median instead of average

We use the median CTR because the underlying distribution of click-through rates is highly skewed, with a small share of campaigns achieving extremely high CTRs. These outliers can inflate a simple average, making it less representative of what most advertisers actually experience. By using the median—which sits at the midpoint of all campaigns—we provide a more rigorous and realistic benchmark that reflects the true underlying data model and helps you set attainable performance expectations.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.

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The data behind the benchmarks

All data is sourced from over $3B in Facebook ad spend, collected across thousands of ad accounts that use Superads daily to analyze and improve their campaigns. Every data point is fully anonymized and aggregated—no individual advertiser is ever exposed.

This dataset updates frequently as new ad data flows in. It will only get bigger and better.

Colombia Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 6Epiphany
Mar 24Saint Joseph's Day
Apr 17Maundy Thursday
Apr 18Good Friday
May 1Labour Day
Jun 2Ascension Day
Jun 23Corpus Christi
Jun 30Sacred Heart of Jesus
Jul 20Independence Day
Aug 7Battle of Boyacá
Aug 18Assumption of Mary
Oct 13Columbus Day
Nov 3All Saints' Day
Nov 17Independence of Cartagena
Dec 8Immaculate Conception
Dec 25Christmas Day

Key Shopping Season

Late November (Black Friday/Cyber Monday), December (Christmas), Mid‑year promotions around Independence Day (Jul 20) and Children's Day (Oct 13)

Potential Advertising Impact

CPM and CPC might increase during long weekends and holidays like Independence Day due to heightened leisure media consumption. Major e‑commerce events could result in sharp spikes in retail competition. June holidays could disrupt typical ad pacing. Many holidays shifted to Mondays make weekend campaigns perform better.

What's a healthy cost per purchase for ecommerce brands?

It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.

How does product price impact CPA benchmarks?

Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.

Why are my purchase costs going up despite stable ROAS?

Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.

Should I use manual bidding to control CPA more effectively?

Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.